A power communication fault repair scheduling method and related device

Abstract

This application discloses a method and related equipment for power communication fault repair and scheduling. Through alarm parsing and classification, fault context construction, root cause localization assisted by an adaptive language model, emergency response plan generation, and multi-node consensus decision-making, it achieves precise and efficient repair and scheduling of power communication faults. The method standardizes fault classification by parsing alarm data and calculating fault impact indices; constructs structured fault contexts by associating with resource databases, providing comprehensive data support for subsequent handling; accurately locates fault root causes by combining a power-domain fine-tuned language model with multi-indicator weighted fusion; identifies affected services and generates emergency response plans through graph traversal algorithms, improving the targeting of handling; and achieves efficient collaboration through a multi-node consensus mechanism, ensuring rapid implementation of handling plans. This promotes the transformation of fault repair towards data-driven intelligence, effectively improving the resilience, agility, and intelligence level of communication support under the new power system.

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